



| Tikhonov-regularized inverse problem | Distance-regularized domain adaptation |
| decreasing sampling error | decreasing domain distance |
| increasing approximation error | bounded learning errors |
| balance | balance |
| Tikhonov 正则化逆问题 | 距离正则化领域适应 |
| 降低采样误差 | 降低领域距离 |
| 增加近似误差 | 有界学习误差 |
| 平衡 | 平衡 |

| Method | Transformed Moons | Amazon Reviews | ||||||||
| so | IWV | DEV | BPDA | TB | SO | IWV | DEV | BPDA | TB | |
| MMD | 0.21 | 0.20 | 0.34 | 0.16 | 0.16 | 0.27 | 0.25 | 0.25 | 0.22 | 0.21 |
| DANN | 0.18 | 0.18 | 0.17 | 0.12 | 0.12 | 0.28 | 0.28 | 0.32 | 0.27 | 0.24 |
| CMD | 0.21 | 0.20 | 0.19 | 0.19 | 0.18 | 0.28 | 0.24 | 0.25 | 0.21 | 0.21 |
| Avg. | 0.20 | 0.19 | 0.23 | 0.16 | 0.15 | 0.28 | 0.26 | 0.27 | 0.23 | 0.22 |
| 方法 | 变换的月球 | 亚马逊评论 | ||||||||
| 所以 | IWV | DEV | BPDA | TB | SO | IWV | DEV | BPDA | TB | |
| MMD | 0.21 | 0.20 | 0.34 | 0.16 | 0.16 | 0.27 | 0.25 | 0.25 | 0.22 | 0.21 |
| DANN | 0.18 | 0.18 | 0.17 | 0.12 | 0.12 | 0.28 | 0.28 | 0.32 | 0.27 | 0.24 |
| CMD | 0.21 | 0.20 | 0.19 | 0.19 | 0.18 | 0.28 | 0.24 | 0.25 | 0.21 | 0.21 |
| 平均值 | 0.20 | 0.19 | 0.23 | 0.16 | 0.15 | 0.28 | 0.26 | 0.27 | 0.23 | 0.22 |

| Common Architecture | ||
| Layers | Values | |
| Backbone Output Layer Projection Layers Adaptation Layers | ResNet-18 (Adaptive Average Pooling Layer) | 512 |
| Fully-connected Layer Batch Normalization 1D Layer ReLU Fully-connected Layer Batch Normalization 1D Layer ReLU Activation Dropout Layer Fully-connected Layer Batch Normalization 1D Layer ReLU Activation Dropout Layer Fully-connected Layer Batch Normalization 1D Layer ReLU Activation Dropout Layer | 1024 1024 0.5 1024 0.5 1024 0.5 | |
| Fully-connected Layer Batch Normalization 1D Layer ReLU Activation Dropout Layer Fully-connected Layer Batch Normalization 1D Layer ReLU Activation | 512 0.5 512 | |
| Class Output Layer | CMD | |
| Fully-connected Layer | 5 | |
| Class Output Layer | MMD | |
| Fully-connected Layer | 5 | |
| 常见架构 | ||
| 层 | 值 | |
| 主干输出层 投影层 适应层 | ResNet-18(自适应平均池化层) | 512 |
| 全连接层 批量归一化 1D层 ReLU 全连接层 批量归一化 1D层 ReLU 激活 Dropout层 全连接层 批量归一化 1D层 ReLU 激活 Dropout层 全连接层 批量归一化 1D层 ReLU 激活 Dropout层 | 1024 1024 0.5 1024 0.5 1024 0.5 | |
| 全连接层 批量归一化 1D层 ReLU 激活 Dropout层 全连接层 批量归一化 1D层 ReLU 激活 | 512 0.5 512 | |
| 类别输出层 | CMD | |
| 全连接层 | 5 | |
| 类别输出层 | MMD | |
| 全连接层 | 5 | |
| MDD Classifier | ||
| Layers | Values | |
| Backbone Output Layer | CMD/MMD-Method Adaptation Layer | 512 |
| Projection Layers | Fully-connected Layer Batch Normalization 1D Layer ReLU | 512 |
| Class Output Layer | Fully-connected Layer | 5 |
| MDD 分类器 | ||
| 层 | 值 | |
| 主干输出层 | CMD/MMD 方法适应层 | 512 |
| 投影层 | 全连接层批量归一化 1D 层 ReLU | 512 |
| 类别输出层 | 全连接层 | 5 |

| Method | SO | IWV | DEV | BPDA | TB |
| MMD | 0.199 (±0.031) | ||||
| DANN | 0.177 (±0.032) | 0.169 (±0.075) | 0.115 (±0.098) | ||
| CMD | 0.198 (±0.022) | 0.185 (±0.039) | |||
| Avg. | 0.191 (±0.028) | 0.152 (±0.069) |
| 方法 | SO | IWV | DEV | BPDA | TB |
| MMD | 0.199 (±0.031) | ||||
| DANN | 0.177 (±0.032) | 0.169 (±0.075) | 0.115 (±0.098) | ||
| CMD | 0.198 (±0.022) | 0.185 (±0.039) | |||
| 平均值 | 0.191 (±0.028) | 0.152 (±0.069) |
| Task | MMD | ||||
| SO | IWV | DEV | BPDA | TB | |
| 0.190 (±0.004) | |||||
| 0.307 (±0.010) | |||||
| 0.197 (±0.006) | |||||
| 0.264 (±0.016 | |||||
| 0.145 (±0.003 | 0.193 (±0.004) | ||||
| 0.268 (±0.010) | |||||
| Avg. | |||||
| 任务 | MMD | ||||
| SO | IWV | DEV | BPDA | TB | |
| 0.190 (±0.004) | |||||
| 0.307 (±0.010) | |||||
| 0.197 (±0.006) | |||||
| 0.264 (±0.016) | |||||
| 0.145 (±0.003) | 0.193 (±0.004) | ||||
| 0.268 (±0.010) | |||||
| 平均值 | |||||
| Task | DANN | ||||
| SO | IWV | DEV | BPDA | TB | |
| 0.228 (±0.003) | 0.220 (±0.011) | ||||
| 0.235 (±0.017) | |||||
| 0.252(±0.084) | |||||
| 0.217(±0.008) | |||||
| 0.327(±0.075) | |||||
| 0.170 (±0.004 | |||||
| 0.338 (±0.017) | |||||
| 0.183 (±0.003) | |||||
| Avg. | |||||
| 任务 | DANN | ||||
| SO | IWV | DEV | BPDA | TB | |
| 0.228 (±0.003) | 0.220 (±0.011) | ||||
| 0.235 (±0.017) | |||||
| 0.252(±0.084) | |||||
| 0.217(±0.008) | |||||
| 0.327(±0.075) | |||||
| 0.170 (±0.004) | |||||
| 0.338 (±0.017) | |||||
| 0.183 (±0.003) | |||||
| 平均值 | |||||
| Task | CMD | ||||
| SO | IWV | DEV | BPDA | TB | |
| 0.193 (±0.006) | 0.193 (±0.006) | ||||
| 0.218 (±0.011) | |||||
| 0.186 (±0.010) | |||||
| 0.203 (±0.007) | |||||
| 0.194 (±0.006 | 0.194 (±0.006) | 0.194 (±0.006) | |||
| 0.147 (±0.004) | 0.147 (±0.004) | ||||
| Avg. | |||||
| 任务 | 命令 | ||||
| 系统对象 | 内部权重值 | 开发 | BPDA | TB | |
| 0.193 (±0.006) | 0.193 (±0.006) | ||||
| 0.218 (±0.011) | |||||
| 0.186 (±0.010) | |||||
| 0.203 (±0.007) | |||||
| 0.194 (±0.006) | 0.194 (±0.006) | 0.194 (±0.006) | |||
| 0.147 (±0.004) | 0.147 (±0.004) | ||||
| 平均值 | |||||
| Task | MMD | ||||
| SO | IWV | DEV | BPDA | TB | |
| Avg. | |||||
| 任务 | MMD | ||||
| SO | IWV | DEV | BPDA | TB | |
| 平均 | |||||
| Task | CMD | ||||
| SO | IWV | DEV | BPDA | TB | |
| Avg. | 0.331(±0.015) | ||||
| 任务 | CMD | ||||
| SO | IWV | DEV | BPDA | TB | |
| 平均值 | 0.331(±0.015) | ||||


| Method | Amazon Reviews | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| HoMM | 0.778(±0.011) | ||||||||
| AdvSKM | |||||||||
| DIRT | |||||||||
| DDC | 0.780(±0.009 | ||||||||
| CMD | 0.794(±0.009 | 0.785(±0.009 | |||||||
| MMDA | |||||||||
| CoDATS | |||||||||
| Deep-Coral | 0.784(±0.009 | ||||||||
| CDAN | |||||||||
| DANN | 0.8001 | ||||||||
| DSAN | |||||||||
| Avg. | |||||||||
| 方法 | 亚马逊评论 | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| HoMM | 0.778(±0.011) | ||||||||
| AdvSKM | |||||||||
| DIRT | |||||||||
| DDC | 0.780(±0.009 | ||||||||
| CMD | 0.794(±0.009 | 0.785(±0.009 | |||||||
| MMDA | |||||||||
| CoDATS | |||||||||
| Deep-Coral | 0.784(±0.009 | ||||||||
| CDAN | |||||||||
| DANN | 0.8001 | ||||||||
| DSAN | |||||||||
| 平均 | |||||||||
| Method | Sleep-EDF | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| HoMM | |||||||||
| AdvSKM | |||||||||
| DIRT | |||||||||
| DDC | |||||||||
| CMD | 0.740(±0.022 | ||||||||
| MMDA | 0.714(±0.028’ | ||||||||
| CoDATS | 0.744(±0.021 | ||||||||
| Deep-Coral | |||||||||
| CDAN | |||||||||
| DANN | 0.723(±0.026 | 0.644(±0.046’ | 0.710(±0.035 | ||||||
| DSAN | |||||||||
| Avg. | |||||||||
| 方法 | Sleep-EDF | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA (我们的) | TB | |
| HoMM | |||||||||
| AdvSKM | |||||||||
| DIRT | |||||||||
| DDC | |||||||||
| CMD | 0.740(±0.022 | ||||||||
| MMDA | 0.714(±0.028’ | ||||||||
| CoDATS | 0.744(±0.021 | ||||||||
| Deep-Coral | |||||||||
| CDAN | |||||||||
| DANN | 0.723(±0.026 | 0.644(±0.046’ | 0.710(±0.035 | ||||||
| DSAN | |||||||||
| 平均值 | |||||||||
| Method | UCI-HAR | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| HoMM | |||||||||
| AdvSKM | |||||||||
| DIRT | |||||||||
| DDC | 0.810(±0.017 | ||||||||
| CMD | |||||||||
| MMDA | |||||||||
| CoDATS | |||||||||
| Deep-Coral | |||||||||
| CDAN | |||||||||
| DANN | |||||||||
| DSAN | |||||||||
| Avg. | |||||||||
| 方法 | UCI-HAR | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| HoMM | |||||||||
| AdvSKM | |||||||||
| DIRT | |||||||||
| DDC | 0.810(±0.017 | ||||||||
| CMD | |||||||||
| MMDA | |||||||||
| CoDATS | |||||||||
| Deep-Coral | |||||||||
| CDAN | |||||||||
| DANN | |||||||||
| DSAN | |||||||||
| 平均 | |||||||||
| Method | HHAR | ||||||||
| Heuristic | │Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| HoMM | 0.759(±0.013) | ||||||||
| AdvSKM | 0.748(±0.034) | ||||||||
| DIRT | |||||||||
| DDC | |||||||||
| CMD | 0.767(±0.007 | ||||||||
| MMDA | 0.783(±0.017 | ||||||||
| CoDATS | 0.773(±0.050 | ||||||||
| Deep-Coral | 0.766(+0.012 | ||||||||
| CDAN | 0.765(±0.063) | 0.816(±0.011 | |||||||
| DANN | 0.779(±0.012) | 0.818(±0.009 | |||||||
| DSAN | 0.803(±0.010) | ||||||||
| Avg. | 0.771(±0.018) | ||||||||
| 方法 | HHAR | ||||||||
| 启发式 | │理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| HoMM | 0.759(±0.013) | ||||||||
| AdvSKM | 0.748(±0.034) | ||||||||
| DIRT | |||||||||
| DDC | |||||||||
| CMD | 0.767(±0.007 | ||||||||
| MMDA | 0.783(±0.017 | ||||||||
| CoDATS | 0.773(±0.050 | ||||||||
| Deep-Coral | 0.766(+0.012 | ||||||||
| CDAN | 0.765(±0.063) | 0.816(±0.011 | |||||||
| DANN | 0.779(±0.012) | 0.818(±0.009) | |||||||
| DSAN | 0.803(±0.010) | ||||||||
| 平均 | 0.771(±0.018) | ||||||||
| Method | WISDM | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| HoMM | |||||||||
| AdvSKM | |||||||||
| DIRT | 0.797(±0.024 | ||||||||
| DDC | 0.741(±0.063 | ||||||||
| CMD | |||||||||
| MMDA | |||||||||
| CoDATS | 0.775(±0.018 | ||||||||
| Deep-Coral | 0.723(±0.037 | ||||||||
| CDAN | 0.781(±0.051 | ||||||||
| DANN | |||||||||
| DSAN | |||||||||
| Avg. | |||||||||
| 方法 | WISDM | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| HoMM | |||||||||
| AdvSKM | |||||||||
| DIRT | 0.797(±0.024 | ||||||||
| DDC | 0.741(±0.063 | ||||||||
| CMD | |||||||||
| MMDA | |||||||||
| CoDATS | 0.775(±0.018 | ||||||||
| Deep-Coral | 0.723(±0.037 | ||||||||
| CDAN | 0.781(±0.051 | ||||||||
| DANN | |||||||||
| DSAN | |||||||||
| 平均值 | |||||||||
| Method | Transformed Moons | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| HoMM | 1.000(±0.003 | ||||||||
| AdvSKM | 0.998(±0.000) | 1.000(±0.000) | |||||||
| DIRT | 0.990(±0.006 | 0.964(±0.009) | 0.983(±0.003) | 0.966(±0.000) | |||||
| DDC | |||||||||
| CMD | |||||||||
| MMDA | 0.990(±0.006) | 1.000l±0.003 | 1.000(±0.003) | 1.000(±0.003) | |||||
| CoDATS | 0.979(±0.016 | 1.000(±0.044 | 1.000(±0.052) | 1.000(±0.016) | 0.979(±0.016) | 1.000(±0.045) | |||
| Deep-Coral | 1.000(±0.000) | ||||||||
| CDAN | 1.000(±0.000) | 1.000(±0.000) | 1.000(±0.000) | 1.000(±0.000) | 1.000(±0.000’ | 1.000(±0.000 | 1.000(±0.000) | ||
| DANN | 1.000/±0.000% | 1.000/±0.000 | 1.000(±0.003 | 1.000/±0.003 | |||||
| DSAN | |||||||||
| Avg. | |||||||||
| 方法 | 变换的月亮 | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (我们的) | TB | |
| HoMM | 1.000(±0.003) | ||||||||
| AdvSKM | 0.998(±0.000) | 1.000(±0.000) | |||||||
| DIRT | 0.990(±0.006) | 0.964(±0.009) | 0.983(±0.003) | 0.966(±0.000) | |||||
| DDC | |||||||||
| CMD | |||||||||
| MMDA | 0.990(±0.006) | 1.000l±0.003 | 1.000(±0.003) | 1.000(±0.003) | |||||
| CoDATS | 0.979(±0.016 | 1.000(±0.044 | 1.000(±0.052) | 1.000(±0.016) | 0.979(±0.016) | 1.000(±0.045) | |||
| Deep-Coral | 1.000(±0.000) | ||||||||
| CDAN | 1.000(±0.000) | 1.000(±0.000) | 1.000(±0.000) | 1.000(±0.000) | 1.000(±0.000’ | 1.000(±0.000 | 1.000(±0.000) | ||
| DANN | 1.000/±0.000% | 1.000/±0.000 | 1.000(±0.003) | 1.000/±0.003 | |||||
| DSAN | |||||||||
| 平均值 | |||||||||

| Architecture | ||
| Layers | Values | |
| MLP Block 1 | Input units | 2 |
| Fully-connected Layer Batch Normalization 1D Layer ReLU Activation Dropout | 128 128 | |
| MLP Block 2 | Fully-connected Layer Batch Normalization 1D Layer ReLU Activation Dropout | 128 128 |
| Fully-connected Layer | 128 | |
| Methods See Table 7 and Table 8 for details. | ||
| 架构 | ||
| 层 | 值 | |
| MLP 块 1 | 输入单元 | 2 |
| 全连接层 批量归一化 1D 层 ReLU 激活 Dropout | 128 128 | |
| MLP 块 2 | 全连接层 批量归一化 1D 层 ReLU 激活 Dropout | 128 128 |
| 全连接层 | 128 | |
| 方法 详见表 7 和表 8。 | ||
| Architecture | ||
| Layers | Values | |
| MLP Block 1 | Input units | 5000 |
| Fully-connected Layer Batch Normalization 1D Layer ReLU Activation Dropout | 128 128 | |
| MLP Block 2 | Fully-connected Layer Batch Normalization 1D Layer ReLU Activation Dropout | 128 128 |
| Fully-connected Layer | 128 | |
| Methods See Table 7 and Table 8 for details. | ||
| 架构 | ||
| 层 | 值 | |
| MLP 块 1 | 输入单元 | 5000 |
| 全连接层 批量归一化 1D 层 ReLU 激活 Dropout | 128 128 | |
| MLP 块 2 | 全连接层 批量归一化 1D 层 ReLU 激活 Dropout | 128 128 |
| 全连接层 | 128 | |
| 方法详见表7和表8。 | ||
| Architecture | ||
| Layers | Values | |
| Backbone Output Layer | ResNet-18 (Adaptive Average Pooling Layer) | 512 |
| Fully-connected Layer | 128 | |
| Methods See Table 7 and Table 8 for details. | ||
| 架构 | ||
| 层 | 值 | |
| 主干输出层 | ResNet-18(自适应平均池化层) | 512 |
| 全连接层 | 128 | |
| 方法详见表7和表8。 | ||
| Architecture | |
| Layers | |
| Conv Block 1 | Convolutional 1D Layer Batch Normalization 1D Layer ReLU Activation Max Pooling 1D Layer Dropout |
| Conv Block 2 | Convolutional 1D Layer Batch Normalization 1D Layer ReLU Activation Max Pooling 1D Layer Dropout |
| Conv Block 3 | Convolutional 1D Layer Batch Normalization 1D Layer ReLU Activation Max Pooling 1D Layer Dropout |
| Adaptive Pooling 1D Layer | |
| Methods See Table 7 and Table 8 for details. |
| 架构 | |
| 层 | |
| 卷积块 1 | 一维卷积层 批量归一化一维层 ReLU 激活 最大池化一维层 Dropout |
| 卷积块 2 | 一维卷积层 批量归一化一维层 ReLU 激活 最大池化一维层 Dropout |
| 卷积块 3 | 一维卷积层 批量归一化一维层 ReLU 激活 最大池化一维层 Dropout |
| 自适应池化一维层 | |
| 方法 详见表 7 和表 8。 |
| Method Architectures (Part 1) | |
| Class Output Head Domain Classifier Head | DANN |
| Fully-connected Layer Fully-connected Layer ReLU Activation Fully-connected Layer ReLU Activation Fully-connected Layer | |
| Class Output Head | DeepCoral |
| Fully-connected Layer | |
| Class Output Head | DDC |
| Fully-connected Layer | |
| Class Output Head | HoMM |
| Fully-connected Layer | |
| Class Output Head | CoDATS |
| Fully-connected Layer ReLU Activation Fully-connected Layer ReLU Activation Fully-connected Layer | |
| Class Output Head | DSAN |
| Fully-connected Layer | |
| 方法架构(第一部分) | |
| 类输出头 领域分类器头 | DANN |
| 全连接层 全连接层 ReLU 激活 全连接层 ReLU 激活 全连接层 | |
| 类输出头 | DeepCoral |
| 全连接层 | |
| 类输出头 | DDC |
| 全连接层 | |
| 类输出头 | HoMM |
| 全连接层 | |
| 类输出头 | CoDATS |
| 全连接层 ReLU 激活 全连接层 ReLU 激活 全连接层 | |
| 类输出头 | DSAN |
| 全连接层 | |
| Method Architectures (Part 2) | |
| AdvSKM | |
| Class Output Head AdvSKM Embedder 1 AdvSKM Embedder 2 | Fully-connected Layer Fully-connected Layer Fully-connected Layer Batch Normalization 1D Layer Cosine Activation Fully-connected Layer Fully-connected Layer Batch Normalization 1D Layer Cosine Activation Fully-connected Layer Fully-connected Layer Batch Normalization 1D Layer ReLU Activation Fully-connected Layer Fully-connected Layer Batch Normalization 1D Layer ReLU Activation |
| Class Output Head | MMDA |
| Fully-connected Layer | |
| CMD | |
| Class Output Head | Fully-connected Layer |
| CDAN | |
| Class Output Head Domain Classifier Head | Fully-connected Layer Fully-connected Layer ReLU Activation Fully-connected Layer ReLU Activation Fully-connected Layer |
| Class Output Head Domain Classifier Head | DIRT |
| Fully-connected Layer Fully-connected Layer ReLU Activation Fully-connected Layer ReLU Activation Fully-connected Layer | |
| 方法架构(第二部分) | |
| AdvSKM | |
| 类输出头 AdvSKM 嵌入器 1 AdvSKM 嵌入器 2 | 全连接层 全连接层 全连接层 批量归一化 1D 层 余弦激活 全连接层 全连接层 批量归一化 1D 层 余弦激活 全连接层 全连接层 批量归一化 1D 层 ReLU 激活 全连接层 全连接层 批量归一化 1D 层 ReLU 激活 |
| 类输出头 | MMDA |
| 全连接层 | |
| CMD | |
| 类输出头 | 全连接层 |
| CDAN | |
| 类输出头领域分类器头 | 全连接层 全连接层 ReLU 激活 全连接层 ReLU 激活 全连接层 |
| 类输出头领域分类器头 | DIRT |
| 全连接层 全连接层 ReLU 激活 全连接层 ReLU 激活 全连接层 | |
| Datasets | ||||
| Method | Hyper-parameter | Transformed Moons | Amazon Reviews | MiniDomainNet |
| DANN | Classification loss weight Domain loss weight | 0.9603 | 0.9603 | 0.9603 |
| DeepCoral | Classification loss weight Coral loss weight | 0.05931 | 0.05931 | 0.05931 |
| DDC | Classification loss weight MMD loss weight | 0.1593 | 0.1593 | 0.1593 |
| CMD | Classification loss weight | 0.96 | 0.96 | 0.96 |
| CMD loss weight | ||||
| HoMM | Classification loss weight | 0.2429 | 0.2429 | 0.2429 |
| Higher-order-MMD loss weight | ||||
| CoDATS | Classification loss weight | 0.5416 | 0.5416 | 0.5416 |
| Adversarial loss weight | ||||
| DSAN | Classification loss weight | 0.4133 | 0.4133 | 0.4133 |
| Local MMD loss weight | ||||
| AdvSKM | Classification loss weight | 0.4637 | 0.4637 | 0.4637 |
| Adversarial MMD loss weight | ||||
| MMDA | Classification loss weight | 0.9505 | 0.9505 | 0.9505 |
| MMD loss weight | ||||
| Conditional loss weight | ||||
| Coral loss weight | ||||
| CDAN | Classification loss weight | 0.6636 | 0.6636 | 0.6636 |
| Adversarial loss weight | ||||
| Conditional loss weight | ||||
| DIRT | Classification loss weight | 0.9752 | 0.9752 | 0.9752 |
| Adversarial loss weight | ||||
| Conditional loss weight | ||||
| Virtual adversarial loss weight | ||||
| 数据集 | ||||
| 方法 | 超参数 | 转换的月球 | 亚马逊评论 | MiniDomainNet |
| DANN | 分类损失权重 域损失权重 | 0.9603 | 0.9603 | 0.9603 |
| DeepCoral | 分类损失权重 珊瑚损失权重 | 0.05931 | 0.05931 | 0.05931 |
| DDC | 分类损失权重 MMD损失权重 | 0.1593 | 0.1593 | 0.1593 |
| CMD | 分类损失权重 | 0.96 | 0.96 | 0.96 |
| CMD 损失权重 | ||||
| HoMM | 分类损失权重 | 0.2429 | 0.2429 | 0.2429 |
| 高阶 MMD 损失权重 | ||||
| CoDATS | 分类损失权重 | 0.5416 | 0.5416 | 0.5416 |
| 对抗损失权重 | ||||
| DSAN | 分类损失权重 | 0.4133 | 0.4133 | 0.4133 |
| 局部 MMD 损失权重 | ||||
| AdvSKM | 分类损失权重 | 0.4637 | 0.4637 | 0.4637 |
| 对抗 MMD 损失权重 | ||||
| MMDA | 分类损失权重 | 0.9505 | 0.9505 | 0.9505 |
| MMD 损失权重 | ||||
| 条件损失权重 | ||||
| 珊瑚损失权重 | ||||
| CDAN | 分类损失权重 | 0.6636 | 0.6636 | 0.6636 |
| 对抗损失权重 | ||||
| 条件损失权重 | ||||
| DIRT | 分类损失权重 | 0.9752 | 0.9752 | 0.9752 |
| 对抗损失权重 | ||||
| 条件损失权重 | ||||
| 虚拟对抗损失权重 | ||||
| Datasets | |||||
| Method | Hyper-parameter | UCI-HAR | Sleep-EDF | WISDM | HHAR |
| DANN | Classification loss weight Domain loss weight | 9.74 | 8.3 | 5.613 | 0.9603 |
| DeepCoral | Classification loss weight Coral loss weight | 8.67 | 9.39 | 8.876 | 0.05931 |
| DDC | Classification loss weight MMD loss weight | 6.24 | 2.951 | 7.01 | 0.1593 |
| CMD | Classification loss weight CMD loss weight | 0.96 | 0.96 | 0.96 | 0.96 |
| HoMM | Classification loss weight | 2.15 | 0.197 | 0.1913 | 0.2429 |
| Higher-order-MMD loss weight | |||||
| CoDATS | Classification loss weight | 6.21 | 9.239 | 7.187 | 0.5416 |
| Adversarial loss weight | |||||
| DSAN | Classification loss weight | 1.76 | 6.713 | 0.1 | 0.4133 |
| Local MMD loss weight | |||||
| AdvSKM | Classification loss weight | 3.05 | 2.5 | 3.05 | 0.4637 |
| Adversarial MMD loss weight | |||||
| MMDA | Classification loss weight | 6.13 | 4.48 | 0.1 | 0.9505 |
| MMD loss weight | |||||
| Conditional loss weight | |||||
| Coral loss weight | |||||
| CDAN | Classification loss weight | 5.19 | 6.803 | 9.54 | 0.6636 |
| Adversarial loss weight | |||||
| Conditional loss weight | |||||
| DIRT | Classification loss weight | 7.0 | 9.183 | 0.1 | 0.9752 |
| Adversarial loss weight | |||||
| Conditional loss weight | |||||
| Virtual adversarial loss weight | |||||
| 数据集 | |||||
| 方法 | 超参数 | UCI-HAR | Sleep-EDF | WISDM | HHAR |
| DANN | 分类损失权重 领域损失权重 | 9.74 | 8.3 | 5.613 | 0.9603 |
| DeepCoral | 分类损失权重 Coral 损失权重 | 8.67 | 9.39 | 8.876 | 0.05931 |
| DDC | 分类损失权重 MMD 损失权重 | 6.24 | 2.951 | 7.01 | 0.1593 |
| CMD | 分类损失权重 CMD 损失权重 | 0.96 | 0.96 | 0.96 | 0.96 |
| HoMM | 分类损失权重 | 2.15 | 0.197 | 0.1913 | 0.2429 |
| 高阶 MMD 损失权重 | |||||
| CoDATS | 分类损失权重 | 6.21 | 9.239 | 7.187 | 0.5416 |
| 对抗损失权重 | |||||
| DSAN | 分类损失权重 | 1.76 | 6.713 | 0.1 | 0.4133 |
| 局部 MMD 损失权重 | |||||
| AdvSKM | 分类损失权重 | 3.05 | 2.5 | 3.05 | 0.4637 |
| 对抗 MMD 损失权重 | |||||
| MMDA | 分类损失权重 | 6.13 | 4.48 | 0.1 | 0.9505 |
| MMD 损失权重 | |||||
| 条件损失权重 | |||||
| Coral 损失权重 | |||||
| CDAN | 分类损失权重 | 5.19 | 6.803 | 9.54 | 0.6636 |
| 对抗损失权重 | |||||
| 条件损失权重 | |||||
| DIRT | 分类损失权重 | 7.0 | 9.183 | 0.1 | 0.9752 |
| 对抗损失权重 | |||||
| 条件损失权重 | |||||
| 虚拟对抗损失权重 | |||||


| Dataset | Heuristic | Theoretical error guarantees | |||||||
| so | TMV | TMR | TCR | SOR | TWV | DEV | IWA (ours) | TB | |
| Transformed Moons | |||||||||
| Amazon Reviews | 0.789(±0.010 | ||||||||
| MiniDomainNet | 0.526(±0.011 | 0.531(±0.011 | |||||||
| Sleep-EDF | |||||||||
| UCI-HAR | |||||||||
| HHAR | 0.7711+0.018 | 0.722(+0.068) | |||||||
| WISDM | 0.768 (±0.027 | ||||||||
| 数据集 | 启发式 | 理论误差保证 | |||||||
| 所以 | TMV | TMR | TCR | SOR | TWV | DEV | IWA (我们的) | TB | |
| 转变的月球 | |||||||||
| 亚马逊评论 | 0.789(±0.010 | ||||||||
| MiniDomainNet | 0.526(±0.011 | 0.531(±0.011 | |||||||
| Sleep-EDF | |||||||||
| UCI-HAR | |||||||||
| HHAR | 0.7711+0.018 | 0.722(+0.068) | |||||||
| WISDM | 0.768 (±0.027 | ||||||||
| Method | Amazon Reviews | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| HoMM | |||||||||
| AdvSKM | |||||||||
| DIRT | |||||||||
| DDC | 0.779(±0.010 | ||||||||
| CMD | |||||||||
| MMDA | |||||||||
| CoDATS | |||||||||
| Deep-Coral | |||||||||
| CDAN | |||||||||
| DANN | |||||||||
| DSAN | |||||||||
| Avg. | |||||||||
| 方法 | 亚马逊评论 | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| HoMM | |||||||||
| AdvSKM | |||||||||
| DIRT | |||||||||
| DDC | 0.779(±0.010) | ||||||||
| CMD | |||||||||
| MMDA | |||||||||
| CoDATS | |||||||||
| Deep-Coral | |||||||||
| CDAN | |||||||||
| DANN | |||||||||
| DSAN | |||||||||
| 平均 | |||||||||
| Method | MiniDomainNet | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| HoMM | |||||||||
| AdvSKM | |||||||||
| DIRT | 0.493(±0.028) | ||||||||
| DDC | 0.514(±0.012 | ||||||||
| CMD | |||||||||
| MMDA | 0.524(±0.004 | ||||||||
| CoDATS | 0.502(±0.026) | 0.524(±0.051 | |||||||
| Deep-Coral | |||||||||
| CDAN | |||||||||
| DANN | |||||||||
| DSAN | |||||||||
| Avg. | |||||||||
| 方法 | MiniDomainNet | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| HoMM | |||||||||
| AdvSKM | |||||||||
| DIRT | 0.493(±0.028) | ||||||||
| DDC | 0.514(±0.012) | ||||||||
| CMD | |||||||||
| MMDA | 0.524(±0.004) | ||||||||
| CoDATS | 0.502(±0.026) | 0.524(±0.051) | |||||||
| 深度珊瑚 | |||||||||
| CDAN | |||||||||
| DANN | |||||||||
| DSAN | |||||||||
| 平均值 | |||||||||
| Method | Sleep-EDF | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| HoMM | |||||||||
| AdvSKM | |||||||||
| DIRT | |||||||||
| DDC | 0.721(±0.037 | 0.704(±0.031 | |||||||
| CMD | 0.740(±0.022 | ||||||||
| MMDA | |||||||||
| CoDATS | 0.744(±0.021 | 0.715(±0.045 | |||||||
| Deep-Coral | 0.717(±0.028 | ||||||||
| CDAN | |||||||||
| DANN | |||||||||
| DSAN | 0.748(±0.008) | ||||||||
| Avg. | |||||||||
| 方法 | 睡眠-EDF | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| HoMM | |||||||||
| AdvSKM | |||||||||
| DIRT | |||||||||
| DDC | 0.721(±0.037 | 0.704(±0.031 | |||||||
| CMD | 0.740(±0.022 | ||||||||
| MMDA | |||||||||
| CoDATS | 0.744(±0.021 | 0.715(±0.045 | |||||||
| Deep-Coral | 0.717(±0.028 | ||||||||
| CDAN | |||||||||
| DANN | |||||||||
| DSAN | 0.748(±0.008) | ||||||||
| 平均 | |||||||||
| Method | UCI-HAR | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| HoMM | |||||||||
| AdvSKM | |||||||||
| DIRT | 0.912(±0.013 | ||||||||
| DDC | |||||||||
| CMD | |||||||||
| MMDA | |||||||||
| CoDATS | |||||||||
| Deep-Coral | |||||||||
| CDAN | 0.687(±0.068’ | ||||||||
| DANN | |||||||||
| DSAN | |||||||||
| Avg. | |||||||||
| 方法 | UCI-HAR | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| HoMM | |||||||||
| AdvSKM | |||||||||
| DIRT | 0.912(±0.013 | ||||||||
| DDC | |||||||||
| CMD | |||||||||
| MMDA | |||||||||
| CoDATS | |||||||||
| Deep-Coral | |||||||||
| CDAN | 0.687(±0.068’ | ||||||||
| DANN | |||||||||
| DSAN | |||||||||
| 平均 | |||||||||
| Method | HHAR | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | TWV | DEV | IWA (ours) | TB | |
| HoMM | |||||||||
| AdvSKM | |||||||||
| DIRT | 0.739(±0.075 | ||||||||
| DDC | 0.750(±0.009 | 0.705(±0.066 | |||||||
| CMD | |||||||||
| MMDA | |||||||||
| CoDATS | 0.773(±0.050 | 0.812(±0.009) | |||||||
| Deep-Coral | 0.766(±0.012 | ||||||||
| CDAN | 0.765(±0.063 | 0.816(±0.011) | |||||||
| DANN | |||||||||
| DSAN | |||||||||
| Avg. | |||||||||
| 方法 | HHAR | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | TWV | DEV | IWA(我们的) | TB | |
| HoMM | |||||||||
| AdvSKM | |||||||||
| DIRT | 0.739(±0.075 | ||||||||
| DDC | 0.750(±0.009 | 0.705(±0.066 | |||||||
| CMD | |||||||||
| MMDA | |||||||||
| CoDATS | 0.773(±0.050 | 0.812(±0.009) | |||||||
| 深度珊瑚 | 0.766(±0.012) | ||||||||
| CDAN | 0.765(±0.063) | 0.816(±0.011) | |||||||
| DANN | |||||||||
| DSAN | |||||||||
| 平均 | |||||||||
| Method | WISDM | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| HoMM | 0.775\{±0.062 | ||||||||
| AdvSKM | 0.781 | ||||||||
| DIRT | 0.797(±0.024 | ||||||||
| DDC | |||||||||
| CMD | 0.772(±0.021 | ||||||||
| MMDA | 0.789(±0.017 | ||||||||
| CoDATS | |||||||||
| Deep-Coral | 0.723(±0.037 | ||||||||
| CDAN | 0.781(±0.051 | ||||||||
| DANN | 0.802(±0.028 | ||||||||
| DSAN | |||||||||
| Avg. | |||||||||
| 方法 | WISDM | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| HoMM | 0.775{±0.062 | ||||||||
| AdvSKM | 0.781 | ||||||||
| DIRT | 0.797(±0.024 | ||||||||
| DDC | |||||||||
| CMD | 0.772(±0.021 | ||||||||
| MMDA | 0.789(±0.017 | ||||||||
| CoDATS | |||||||||
| 深度珊瑚 | 0.723(±0.037) | ||||||||
| CDAN | 0.781(±0.051) | ||||||||
| DANN | 0.802(±0.028) | ||||||||
| DSAN | |||||||||
| 平均值 | |||||||||
| Task | HoMM | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.736(±0.011 | 0.719(±0.005) | ||||||||
| 0.721(±0.004 | |||||||||
| Avg. | |||||||||
| 任务 | HoMM | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 0.736(±0.011 | 0.719(±0.005) | ||||||||
| 0.721(±0.004) | |||||||||
| 平均值 | |||||||||
| Task | AdvSKM | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.763(±0.012 | |||||||||
| Avg. | |||||||||
| 任务 | AdvSKM | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 0.763(±0.012 | |||||||||
| 平均值 | |||||||||
| Task | DIRT | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | 1WV | DEV | IWA (ours) | TB | |
| 0.837(±0.00% | |||||||||
| 0.714(±0.016 | 0.702(±0.018 | ||||||||
| 0.718(±0.01 | |||||||||
| 0.894(±0.005 | |||||||||
| 0.723(±0.005’ | |||||||||
| Avg. | 0.8(±0.01) | ||||||||
| 任务 | DIRT | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | 1WV | DEV | IWA(我们的) | TB | |
| 0.837(±0.00% | |||||||||
| 0.714(±0.016 | 0.702(±0.018 | ||||||||
| 0.718(±0.01 | |||||||||
| 0.894(±0.005 | |||||||||
| 0.723(±0.005’ | |||||||||
| 平均值 | 0.8(±0.01) | ||||||||
| Task | DDC | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.793(±0.015 | |||||||||
| 0.706(±0.021 | |||||||||
| 0.736(±0.006 | |||||||||
| 0.87%(±0.009 | 0.877(±0.011 | ||||||||
| 0.727(±0.005) | |||||||||
| 0.753(±0.01 | |||||||||
| 0.841(±0.001) | |||||||||
| Avg. | |||||||||
| 任务 | DDC | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 0.793(±0.015 | |||||||||
| 0.706(±0.021 | |||||||||
| 0.736(±0.006 | |||||||||
| 0.87%(±0.009 | 0.877(±0.011 | ||||||||
| 0.727(±0.005) | |||||||||
| 0.753(±0.01 | |||||||||
| 0.841(±0.001) | |||||||||
| 平均值 | |||||||||
| Task | CMD | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.8(±0.003) | |||||||||
| 0.752(±0.004 | |||||||||
| 0.875(±0.008) | |||||||||
| 0.77(±0.017) | |||||||||
| Avg. | |||||||||
| 任务 | 命令 | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA (我们的) | TB | |
| 0.8(±0.003) | |||||||||
| 0.752(±0.004) | |||||||||
| 0.875(±0.008) | |||||||||
| 0.77(±0.017) | |||||||||
| 平均值 | |||||||||
| Task | MMDA | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.797(±0.009) | |||||||||
| 0.8(±0.012) | |||||||||
| 0.713(±0.014) | |||||||||
| Avg. | |||||||||
| 任务 | MMDA | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA (我们的) | TB | |
| 0.797(±0.009) | |||||||||
| 0.8(±0.012) | |||||||||
| 0.713(±0.014) | |||||||||
| 平均值 | |||||||||
| Task | CoDATS | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | TWV | DEV | IWA (ours) | TB | |
| 0.8(±0.002) | |||||||||
| 0.725(±0.021 | 0.7(±0.027) | ||||||||
| 0.756(±0.017) | |||||||||
| 0.747(±0.012) | |||||||||
| 0.868(±0.007 | |||||||||
| Avg. | |||||||||
| 任务 | CoDATS | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | TWV | DEV | IWA(我们的) | TB | |
| 0.8(±0.002) | |||||||||
| 0.725(±0.021 | 0.7(±0.027) | ||||||||
| 0.756(±0.017) | |||||||||
| 0.747(±0.012) | |||||||||
| 0.868(±0.007 | |||||||||
| 平均值 | |||||||||
| Task | Deep-Coral | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.785(±0.002 | 0.784(±0.003 | ||||||||
| 0.795(±0.01% | 0.795(±0.013 | ||||||||
| 0.708(±0.022) | 0.709(±0.024 | ||||||||
| 0.741(±0.001 | |||||||||
| 0.878(±0.007 | |||||||||
| 0.759(±0.009 | |||||||||
| 0.858(±0.011 | |||||||||
| Avg. | |||||||||
| 任务 | 深度珊瑚 | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 0.785(±0.002 | 0.784(±0.003 | ||||||||
| 0.795(±0.01% | 0.795(±0.013 | ||||||||
| 0.708(±0.022) | 0.709(±0.024 | ||||||||
| 0.741(±0.001 | |||||||||
| 0.878(±0.007 | |||||||||
| 0.759(±0.009 | |||||||||
| 0.858(±0.011 | |||||||||
| 平均值 | |||||||||
| Task | CDAN | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.8(±0.006) | |||||||||
| Avg. | |||||||||
| 任务 | CDAN | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 0.8(±0.006) | |||||||||
| 平均值 | |||||||||
| Task | DANN | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.712(±0.012 | |||||||||
| 0.751(±0.008 | |||||||||
| 0.879(±0.014 | |||||||||
| 0.765(±0.011) | 0.778(±0.013 | ||||||||
| Avg. | 0.8(±0.01) | ||||||||
| 任务 | DANN | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (我们的) | TB | |
| 0.712(±0.012) | |||||||||
| 0.751(±0.008) | |||||||||
| 0.879(±0.014) | |||||||||
| 0.765(±0.011) | 0.778(±0.013) | ||||||||
| 平均值 | 0.8(±0.01) | ||||||||
| Task | DSAN | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.801(±0.011 | |||||||||
| 0.799\{±0.007 | |||||||||
| Avg. | |||||||||
| 任务 | DSAN | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 0.801(±0.011 | |||||||||
| 0.799{±0.007 | |||||||||
| 平均值 | |||||||||
| Method | MiniDomainNet | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| HoMM | |||||||||
| AdvSKM | |||||||||
| DIRT | 0.519(±0.006) | ||||||||
| DDC | |||||||||
| CMD | |||||||||
| MMDA | 0.524(±0.004 | ||||||||
| CoDATS | 0.536(±0.028 | 0.518(±0.031) | 0.524(±0.051) | ||||||
| Deep-Coral | |||||||||
| CDAN | |||||||||
| DANN | 0.538(±0.005 | ||||||||
| DSAN | |||||||||
| Avg. | |||||||||
| 方法 | MiniDomainNet | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| HoMM | |||||||||
| AdvSKM | |||||||||
| DIRT | 0.519(±0.006) | ||||||||
| DDC | |||||||||
| CMD | |||||||||
| MMDA | 0.524(±0.004 | ||||||||
| CoDATS | 0.536(±0.028 | 0.518(±0.031) | 0.524(±0.051) | ||||||
| Deep-Coral | |||||||||
| CDAN | |||||||||
| DANN | 0.538(±0.005 | ||||||||
| DSAN | |||||||||
| 平均 | |||||||||
| Task | Heuristic | HoMM | Theoretical error guarantees | ||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| Avg. |
| 任务 | 启发式 | HoMM | 理论误差保证 | ||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA (我们的) | TB | |
| 平均值 |
| Task | AdvSKM | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.394(±0.021 | |||||||||
| 0.335(±0.002 | |||||||||
| 0.589(±0.007) | |||||||||
| Avg. | |||||||||
| 任务 | AdvSKM | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 0.394(±0.021) | |||||||||
| 0.335(±0.002) | |||||||||
| 0.589(±0.007) | |||||||||
| 平均值 | |||||||||
| Task | DIRT | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | TWV | DEV | IWA (ours) | TB | |
| 0.708(±0.026) | |||||||||
| 0.345(±0.031) | |||||||||
| 0.578(±0.006) | |||||||||
| Avg. | |||||||||
| 任务 | DIRT | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | TWV | DEV | IWA(我们的) | TB | |
| 0.708(±0.026) | |||||||||
| 0.345(±0.031) | |||||||||
| 0.578(±0.006) | |||||||||
| 平均值 | |||||||||
| Task | DDC | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | TWV | DEV | IWA (ours) | TB | |
| 0.555(±0.013) | |||||||||
| 0.718(±0.003 | |||||||||
| Avg. | |||||||||
| 任务 | DDC | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | TWV | DEV | IWA(我们的) | TB | |
| 0.555(±0.013) | |||||||||
| 0.718(±0.003) | |||||||||
| 平均值 | |||||||||
| Task | CMD | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | TWV | DEV | IWA (ours) | TB | |
| 0.598(±0.008) | |||||||||
| 0.741(±0.015 | |||||||||
| Avg. | |||||||||
| 任务 | 命令 | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | TWV | DEV | IWA(我们的) | TB | |
| 0.598(±0.008) | |||||||||
| 0.741(±0.015) | |||||||||
| 平均值 | |||||||||
| Task | MMDA | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | TWV | DEV | IWA (ours) | TB | |
| 0.587(±0.009) | |||||||||
| 0.717(±0.014 | |||||||||
| 0.592(±0.001 | |||||||||
| Avg. | |||||||||
| 任务 | MMDA | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | TWV | DEV | IWA(我们的) | TB | |
| 0.587(±0.009) | |||||||||
| 0.717(±0.014) | |||||||||
| 0.592(±0.001) | |||||||||
| 平均值 | |||||||||
| Task | CoDATS | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| Avg. | |||||||||
| 任务 | CoDATS | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 平均值 | |||||||||
| Task | Deep-Coral | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | TWV | DEV | IWA (ours) | TB | |
| 0.38(±0.005 | |||||||||
| 0.726(±0.015) | |||||||||
| 0.386(±0.004 | |||||||||
| Avg. | |||||||||
| 任务 | 深度珊瑚 | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | TWV | DEV | IWA(我们的) | TB | |
| 0.38(±0.005) | |||||||||
| 0.726(±0.015) | |||||||||
| 0.386(±0.004) | |||||||||
| 平均值 | |||||||||
| Task | CDAN | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.352(±0.024) | |||||||||
| Avg. | |||||||||
| 任务 | CDAN | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 0.352(±0.024) | |||||||||
| 平均值 | |||||||||
| Task | DANN | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| Avg. | |||||||||
| 任务 | DANN | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 平均值 | |||||||||
| Task | DSAN | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| Avg. | |||||||||
| 任务 | DSAN | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 平均值 | |||||||||
| Task | HoMM | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.72(±0.052) | |||||||||
| 0.788(±0.022 | |||||||||
| 0.702(±0.02) | |||||||||
| 0.736(±0.012 | |||||||||
| Avg. | 0.747(±0.018) | ||||||||
| 任务 | HoMM | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 0.72(±0.052) | |||||||||
| 0.788(±0.022 | |||||||||
| 0.702(±0.02) | |||||||||
| 0.736(±0.012 | |||||||||
| 平均值 | 0.747(±0.018) | ||||||||
| Task | AdvSKM | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | TWV | DEV | IWA (ours) | TB | |
| 0.777(±0.024 | |||||||||
| 0.707(±0.004 | |||||||||
| Avg. | |||||||||
| 任务 | AdvSKM | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | TWV | DEV | IWA(我们的) | TB | |
| 0.777(±0.024) | |||||||||
| 0.707(±0.004) | |||||||||
| 平均值 | |||||||||
| Task | DIRT | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | TWV | DEV | IWA (ours) | TB | |
| 0.87(±0.019) | |||||||||
| 0.757(±0.025) | |||||||||
| 0.871(±0.014 | |||||||||
| Avg. | 0.749(±0.021) | ||||||||
| 任务 | DIRT | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | TWV | DEV | IWA(我们的) | TB | |
| 0.87(±0.019) | |||||||||
| 0.757(±0.025) | |||||||||
| 0.871(±0.014) | |||||||||
| 平均值 | 0.749(±0.021) | ||||||||
| Task | DDC | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| Avg. | |||||||||
| 任务 | DDC | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (我们的) | TB | |
| 平均 | |||||||||
| Task | CMD | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.727(±0.004) | |||||||||
| Avg. | |||||||||
| 任务 | CMD | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 0.727(±0.004) | |||||||||
| 平均值 | |||||||||
| Task | MMIDA | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| Avg. | |||||||||
| 任务 | MMIDA | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 平均值 | |||||||||
| Task | CoDATS | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.84(±0.014) | |||||||||
| Avg. | |||||||||
| 任务 | CoDATS | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 0.84(±0.014) | |||||||||
| 平均值 | |||||||||
| Task | Deep-Coral | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | PWV | DEV | IWA (ours) | TB | |
| Avg. | 0.7(±0.031) | ||||||||
| 任务 | 深度珊瑚 | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | PWV | DEV | IWA(我们的) | TB | |
| 平均值 | 0.7(±0.031) | ||||||||
| Task | CDAN | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| Avg. | |||||||||
| 任务 | CDAN | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA (我们的) | TB | |
| 平均值 | |||||||||
| Task | DANN | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.661(±0.008 | |||||||||
| Avg. | |||||||||
| 任务 | DANN | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 0.661(±0.008 | |||||||||
| 平均值 | |||||||||
| Task | DSAN | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| Avg. | |||||||||
| 任务 | DSAN | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 平均值 | |||||||||
| Task | HoMM | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | |||||
| 0.896(±0.0) | |||||||||
| 0.91(±0.024) | |||||||||
| Avg. | |||||||||
| 任务 | HoMM | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (我们的) | TB | |
| 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | |||||
| 0.896(±0.0) | |||||||||
| 0.91(±0.024) | |||||||||
| 平均值 | |||||||||
| Task | AdvSKM | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 1.0(±0.0) | 1.0(±0.0) | ||||||||
| Avg. | 0.8(±0.01) | ||||||||
| 任务 | AdvSKM | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 1.0(±0.0) | 1.0(±0.0) | ||||||||
| 平均值 | 0.8(±0.01) | ||||||||
| Task | DIRT | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | ||||||
| 0.938(±0.0) | |||||||||
| Avg. | 0.9(±0.016) | ||||||||
| 任务 | DIRT | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (我们的) | TB | |
| 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | ||||||
| 0.938(±0.0) | |||||||||
| 平均值 | 0.9(±0.016) | ||||||||
| Task | DDC | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TR | |
| 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | ||||
| Avg. | |||||||||
| 任务 | DDC | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TR | |
| 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | ||||
| 平均值 | |||||||||
| Task | CMD | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | TWV | DEV | IWA (ours) | TB | |
| 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0 | ||||||
| Avg. | |||||||||
| 任务 | 命令 | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | TWV | DEV | IWA(我们的) | TB | |
| 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0 | ||||||
| 平均值 | |||||||||
| Task | MMDA | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | ||||||
| Avg. | |||||||||
| 任务 | MMDA | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | ||||||
| 平均值 | |||||||||
| Task | CoDATS | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | TWV | DEV | IWA (ours) | TB | |
| 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | |||||
| 0.944(±0.012 | |||||||||
| Avg. | |||||||||
| 任务 | CoDATS | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | TWV | DEV | IWA(我们的) | TB | |
| 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | |||||
| 0.944(±0.012 | |||||||||
| 平均值 | |||||||||
| Task | Deep-Coral | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | TWV | DEV | IWA (ours) | TB | |
| 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | |||||
| 0.91(±0.032 | |||||||||
| Avg. | 0.8(±0.02) | 0.8(±0.02) | |||||||
| 任务 | 深度珊瑚 | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | TWV | DEV | IWA (我们的) | TB | |
| 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | |||||
| 0.91(±0.032) | |||||||||
| 平均值 | 0.8(±0.02) | 0.8(±0.02) | |||||||
| Task | CDAN | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | |||||
| 0.951(±0.012) | |||||||||
| Avg. | |||||||||
| 任务 | CDAN | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | |||||
| 0.951(±0.012) | |||||||||
| 平均 | |||||||||
| Task | DANN | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | ||||
| Avg. | |||||||||
| 任务 | DANN | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA (我们的) | TB | |
| 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | ||||
| 平均值 | |||||||||
| Task | DSAN | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | |||
| Avg. | |||||||||
| 任务 | DSAN | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | 1.0(±0.0) | |||
| 平均值 | |||||||||
| Task | HoMM | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.469(±0.051 | |||||||||
| 0.818(±0.002 | |||||||||
| 0.914(±0.007) | 0.911/±0.005 | 0.911(±0.005 | |||||||
| Avg. | |||||||||
| 任务 | HoMM | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 0.469(±0.051 | |||||||||
| 0.818(±0.002 | |||||||||
| 0.914(±0.007) | 0.911/±0.005 | 0.911(±0.005 | |||||||
| 平均值 | |||||||||
| Task | AdvSKM | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| Avg. | |||||||||
| 任务 | AdvSKM | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 平均 | |||||||||
| Task | DIRT | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | 1WV | DEV | IWA (ours) | TB | |
| 0.658(±0.03) | 0.548(±0.049 | ||||||||
| 0.857(±0.087) | |||||||||
| Avg. | |||||||||
| 任务 | DIRT | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | 1WV | DEV | IWA(我们的) | TB | |
| 0.658(±0.03) | 0.548(±0.049) | ||||||||
| 0.857(±0.087) | |||||||||
| 平均值 | |||||||||
| Task | DDC | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.693(±0.017) | |||||||||
| 0.497(±0.028 | |||||||||
| 0.8071 | |||||||||
| Avg. | |||||||||
| 任务 | DDC | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 0.693(±0.017) | |||||||||
| 0.497(±0.028) | |||||||||
| 0.8071 | |||||||||
| 平均值 | |||||||||
| Task | CMD | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.915(±0.009 | |||||||||
| Avg. | |||||||||
| 任务 | CMD | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 0.915(±0.009 | |||||||||
| 平均 | |||||||||
| Task | MMDA | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.737(±0.021) | |||||||||
| 0.862(±0.026 | |||||||||
| Avg. | |||||||||
| 任务 | MMDA | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (我们的) | TB | |
| 0.737(±0.021) | |||||||||
| 0.862(±0.026) | |||||||||
| 平均 | |||||||||
| Task | CoDATS | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.947(±0.009) | |||||||||
| 0.971(±0.018 | |||||||||
| Avg. | |||||||||
| 任务 | CoDATS | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 0.947(±0.009) | |||||||||
| 0.971(±0.018 | |||||||||
| 平均值 | |||||||||
| Task | Deep-Coral | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.896(±0.004 | |||||||||
| 0.801(±0.004 | |||||||||
| Avg. | 0.764(±0.011) | ||||||||
| 任务 | 深度珊瑚 | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (我们的) | TB | |
| 0.896(±0.004) | |||||||||
| 0.801(±0.004) | |||||||||
| 平均值 | 0.764(±0.011) | ||||||||
| Task | CDAN | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.98(±0.0) | |||||||||
| Avg. | |||||||||
| 任务 | CDAN | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 0.98(±0.0) | |||||||||
| 平均值 | |||||||||
| Task | DANN | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| Avg. | |||||||||
| 任务 | DANN | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 平均 | |||||||||
| Task | DSAN | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.979(±0.002) | |||||||||
| 0.979/±0.006 | |||||||||
| Avg. | |||||||||
| 任务 | DSAN | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 0.979(±0.002) | |||||||||
| 0.979/±0.006 | |||||||||
| 平均值 | |||||||||
| Task | HoMM | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.77(±0.014 | |||||||||
| 0.884(±0.017) | |||||||||
| 0.711(±0.066 | |||||||||
| Avg. | |||||||||
| 任务 | HoMM | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 0.77(±0.014 | |||||||||
| 0.884(±0.017) | |||||||||
| 0.711(±0.066 | |||||||||
| 平均值 | |||||||||
| Task | AdvSKM | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.818(±0.131) | |||||||||
| Avg. | |||||||||
| 任务 | AdvSKM | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 0.818(±0.131) | |||||||||
| 平均值 | |||||||||
| Task | DIRT | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | 1WV | DEV | IWA (ours) | TB | |
| 0.891(±0.04 | |||||||||
| 0.77(±0.069 | |||||||||
| 0.869(±0.023 | |||||||||
| 0.824(±0.011) | |||||||||
| Avg. | |||||||||
| 任务 | DIRT | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | 1WV | DEV | IWA(我们的) | TB | |
| 0.891(±0.04 | |||||||||
| 0.77(±0.069 | |||||||||
| 0.869(±0.023 | |||||||||
| 0.824(±0.011) | |||||||||
| 平均值 | |||||||||
| Task | DDC | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.7(±0.0) | 0.7(±0.067) | ||||||||
| 0.746(±0.069 | |||||||||
| 0.884(±0.017) | |||||||||
| 0.704(±0.029) | |||||||||
| Avg. | |||||||||
| 任务 | DDC | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 0.7(±0.0) | 0.7(±0.067) | ||||||||
| 0.746(±0.069) | |||||||||
| 0.884(±0.017) | |||||||||
| 0.704(±0.029) | |||||||||
| 平均值 | |||||||||
| Task | CMD | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.7(±0.0) | |||||||||
| 0.897(±0.029 | |||||||||
| Avg. | |||||||||
| 任务 | 命令 | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 0.7(±0.0) | |||||||||
| 0.897(±0.029) | |||||||||
| 平均值 | |||||||||
| Task | MMDA | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.8(±0.0) | |||||||||
| Avg. | 0.79(±0.013) | ||||||||
| 任务 | MMDA | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (我们的) | TB | |
| 0.8(±0.0) | |||||||||
| 平均值 | 0.79(±0.013) | ||||||||
| Task | CoDATS | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| Avg. | |||||||||
| 任务 | CoDATS | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 平均值 | |||||||||
| Task | Deep-Coral | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.69(±0.071) | |||||||||
| Avg. | |||||||||
| 任务 | 深度珊瑚 | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| SO | TMV | TMR | TCR | SOR | IWV | DEV | IWA (我们的) | TB | |
| 0.69(±0.071) | |||||||||
| 平均值 | |||||||||
| Task | CDAN | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.7(±0.0) | |||||||||
| Avg. | |||||||||
| 任务 | CDAN | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 0.7(±0.0) | |||||||||
| 平均值 | |||||||||
| Task | DANN | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.865(±0.033 | |||||||||
| 0.899(±0.061 | |||||||||
| Avg. | |||||||||
| 任务 | DANN | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 0.865(±0.033 | |||||||||
| 0.899(±0.061 | |||||||||
| 平均值 | |||||||||
| Task | DSAN | ||||||||
| Heuristic | Theoretical error guarantees | ||||||||
| so | TMV | TMR | TCR | SOR | IWV | DEV | IWA (ours) | TB | |
| 0.597(±0.076) | |||||||||
| Avg. | |||||||||
| 任务 | DSAN | ||||||||
| 启发式 | 理论误差保证 | ||||||||
| 所以 | TMV | TMR | TCR | SOR | IWV | DEV | IWA(我们的) | TB | |
| 0.597(±0.076) | |||||||||
| 平均值 | |||||||||






| Benchmarks | GPT-4 Turbo | GPT-3.5 Turbo | Gemini 1.0 Pro | LLaMA 213B | LLaMA 3 8B | LLaMA 370B | Mistral 7B | Zephyr 7B | Random |
| Associations | 0.94 | 0.51 | 0.93 | 0.40 | 0.46 | 0.57 | 0.46 | 0.27 | 0.08 |
| Modality | 0.83 | 0.65 | 0.81 | 0.50 | 0.43 | 0.63 | 0.39 | 0.43 | 0.07 |
| Code | 0.75 | 0.63 | 0.61 | 0.13 | 0.25 | 0.30 | 0.19 | 0.13 | 0.00 |
| Logic | 0.48 | 0.46 | 0.28 | 0.46 | 0.21 | 0.11 | 0.53 | 0.47 | 0.00 |
| Graphs | 0.39 | 0.34 | 0.26 | 0.06 | 0.05 | 0.15 | 0.03 | 0.03 | 0.00 |
| Total | 0.68 | 0.52 | 0.58 | 0.31 | 0.28 | 0.35 | 0.32 | 0.27 | 0.03 |
| 基准 | GPT-4 Turbo | GPT-3.5 Turbo | Gemini 1.0 Pro | LLaMA 213B | LLaMA 3 8B | LLaMA 370B | Mistral 7B | Zephyr 7B | 随机 |
| 关联 | 0.94 | 0.51 | 0.93 | 0.40 | 0.46 | 0.57 | 0.46 | 0.27 | 0.08 |
| 模态 | 0.83 | 0.65 | 0.81 | 0.50 | 0.43 | 0.63 | 0.39 | 0.43 | 0.07 |
| 代码 | 0.75 | 0.63 | 0.61 | 0.13 | 0.25 | 0.30 | 0.19 | 0.13 | 0.00 |
| 逻辑 | 0.48 | 0.46 | 0.28 | 0.46 | 0.21 | 0.11 | 0.53 | 0.47 | 0.00 |
| 图 | 0.39 | 0.34 | 0.26 | 0.06 | 0.05 | 0.15 | 0.03 | 0.03 | 0.00 |
| 总计 | 0.68 | 0.52 | 0.58 | 0.31 | 0.28 | 0.35 | 0.32 | 0.27 | 0.03 |





| # set WolframAlpha as the main expression engine to use |
